Eva YW Cheung1, Patrick KC Chiu2, YF Shea2, Joseph SK Kwan3, and Henry KF Mak1
1The University of Hong Kong, Hong Kong, Hong Kong, 2Queen Mary Hospital, Hong Kong, Hong Kong, 3Imperial College London, London, United Kingdom
Synopsis
Interhemispheric functional connectivity and 18F-flutametamol PET
Introduction
Previous studies [1], [2] have demonstrated that accumulations of amyloid fibrils (AF) altered
the cognitive performance in patients suffered from Alzheimer’s disease (AD)
and Mild cognitive impairment (MCI).Method
Seventy participants (16 AD, 11 MCI with amyloid positive (amyMCI),18
MCI with amyloid negative (NamyMCI) and 25 healthy control (HC)) were recruited
from the university hospital memory clinic. A multidisciplinary panel formed by
a neuroradiologist and two geriatricians classified each of them into AD,
amyMCI, NamyMCI based on clinical history, neuropsychological score (HK-MoCA),
structural MRI and MR perfusion [3].
MRI images were acquired using a Phillips Achieva
3T. A T1W MPRAGE (repetition time [TR]=6.8ms, echo time [TE]=3.2ms, inversion
time [TI]=844ms, flip angle = 8o, 256 slices; field of view = 256mm, voxel size
= 1 x 1 x 1.2mm) and one 8-min resting state scan (multi-echo echo planar
imaging (EPI) sequence; 180 time points; TR=2000ms Flip angle = 90o, 36 slices,
voxel size = 1.6 x 1.6 x 4mm). Each participants were asked to remain quiet and
relax during the scan, with their eyes closed but not to fall asleep. The fMRI
images were pre-processed by SPM12 with Matlab 2018a. It included elimination
of the first 10 time points, slice timing correction, normalization and head
motion correction. For VMHC, we adopted the method of calculation used by
Kelly et al 2011 [4] and Zuo et al 2010 [5]. VMHC map was obtained. Two sample T-test was performed to compare each
group with HC. Two-tailed Gaussian Random Field theory with voxel level of
p<0.01 and cluster level of p<0.05 was used.
PET images were acquired using General Electric
PET/CT scanner, using 18-F Flutametamol as tracer. Standardized uptake
value (SUV) were retrieved from the PET images. Voxel by voxel correlation
analysis between IFC and SUV were calculated using DPARSF ver 4.0, with age,
gender and total intracranial volume as covariates.Result
In AD group, high amyloid load was found at precuneus,
cuneus, calcarine,
hippocampus, parahippocampus,
middle cingulate, lingual gyrus, inferior temporal gyrus, inferior occipital
gyrus, posterior central gyrus and superior parietal gyrus. These
regions also showed attenuated IFC in VMHC map. The correlation map showed negative
correlation in these regions, suggested positive amyloid load with lowered IFC in these regions.
In AmyMCI
group, the amyloid load was lower when compared to AD group.
Relatively high amyloid load at middle frontal orbital gyrus, olfactory,
precuneus, cuneus, lingual gyrus, calcarine; low amyloid load at middle cingulate and supplementary motor area. Attenuated IFC at middle frontal
orbital gyrus; increase IFC were found at middle cingulate, supplementary motor
area.
The correlation map showed
negative correlation at
olfactory, middle frontal orbital, middle cingulate and supplementary motor
area suggested positive amyloid load with lowered IFC. Positive correlation map showed at most mild amyloid load regions
including calcarine,
lingual gyrus, anterior cingulate, superior medial frontal gyrus, cuneus and
precuneus, suggested that mild amyloid load may induce IFC increase.
Low amyloid load in NamyMCI
group when compared to AD and AmyMCI
group. Low amyloid load at middle cingulate and supplementary motor area.
Increase IFC were found at these two regions. The correlation map showed
positive correlation, at posterior cingulate, precuneus, cuneus, middle
cingulate, supplementary motor area, superior medial frontal gyrus, olfactory
and rectus, suggested that very low level of amyloid load may induce IFC increase
at these regions. Conclusion
The voxel by voxel correlation analysis showed that high amyloid load will attenuated IFC, while low amyloid load will promote IFC. The finding suggested that IFC can be a non-invasive diagnostic tool for patient with early dementia, who have low amyloid load and showed high IFC in the VMHC map. Acknowledgements
This study was supported by the State Key Laboratory of Brain and Cognitive Science, the University of Hong Kong.References
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